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Unlocking the Power of Generative AI: The Critical Role of Knowledge Management
What is Generative AI?
Generative AI is a subfield of artificial intelligence that involves creating systems capable of generating new content, such as images, music, and even text, similar to what a human would produce. These systems use machine learning algorithms, such as deep neural networks, to learn from large datasets and generate new content that is often indistinguishable from humans created content.
Generative AI is important because it has the potential to revolutionize many industries, including entertainment, advertising, and even healthcare. Organizations are looking at how it can create better employee and customer experiences by unlocking the potential stored in the vast troves of unstructured data that house knowledge assets.
Listen to our podcast Human Cognitive Science with special guest Daniel Faggella to learn more.
The Keys to Success
The success of Generative AI largely depends on the effective management of the vast knowledge they possess. Generative AI models can produce impressive and realistic outputs, but they do so by training on massive amounts of data. The enormous amount of knowledge they possess can be both a strength and a challenge.
It is important to effectively manage this knowledge to ensure that the models generate outputs that are not only realistic but also ethical, fair, and safe. Furthermore, continuous monitoring and updating of the models are necessary to ensure they remain up-to-date and accurate, as well as to prevent the models from generating biased or harmful outputs.
Our KM Assessment for AI with a PoC plan involves evaluating your organization's knowledge management practices related to artificial intelligence AI and developing a plan for a proof of concept to test the feasibility of implementing AI solutions. Earley takes it a step further by analyzing and organizing your business's current data management practices, identifying data gaps, and determining the potential impact of AI on the organization's knowledge management processes.
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Additional Resources
Conversation with ChatGPT on Enterprise Knowledge Management
In this article, Seth Earley will delve into more detail about the value of generalized language models, whether ChatGPT can replace knowledge management, and how ChatGPT relates to knowledge management tools such as ontologies and knowledge graphs.
Knowledge Engineering, Knowledge Management and AI Assistants
The role of AI assistants is to support customers or employees as they carry out tasks. In some cases, for repeatable actions with unambiguous outcomes, a chatbot or AI assistant can fully automate interactions.
The AI-Powered Enterprise: Harness the Power of Ontologies to Make Your Business Smarter, Faster and More Profitable
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Published by LifeTree Media